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This article introduces the knowledge of "how numpy.clip keeps the values in the array within a certain range". In the operation of actual cases, many people will encounter this dilemma, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

Numpy.clip keeps the values in the array within a certain interval np.clip ()

Given an interval range, the values outside the interval range will be truncated to the boundary of the interval. For example, if the specified interval is [- 1 minute 1], values less than-1 will become-1, and values greater than 1 will become 1.

Array = np.array ([10, 7, 4, 3, 2, 2, 5, 9, 0, 4, 6, 0]) print (np.clip (array,2,6)) # output: [6 6 4 3 2 5 6 4 6 2]

Elements less than 2 become 2, elements greater than 6 become 6, and a line of code is far more concise and efficient than this:

Array [array6] = 6 "how numpy.clip keeps the values in the array within a certain range" ends here. Thank you for reading. If you want to know more about the industry, you can follow the website, the editor will output more high-quality practical articles for you!

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